Search
Green Artificial Intelligence – GrAI
In recent years, artificial intelligence (AI) has become increasingly intertwined with our daily lives. However, AI such as that currently supported by most major players in the industry like GAFAM, i
Stattistics, computation and Artificial Intelligence – SCAI
The key factor for the recent boom in AI is the emergence of deep learning (DL). The successes of these methods - in particular, for supervised learning- are amazing. But the limits and some of the do
TopAI: Topological Data Analysis for Machine Learning and AI – TopAI
TopAI is a project that aims at developing a world-leading research activity on topological and geometric approaches in Machine Learning (ML) and Artificial Intelligence (AI) going from mathematical f
BRIDinG thE gAp Between iterative proximaL methods and nEural networks – BRIDGEABLE
Proximal methods have enabled significant advances in large scale optimization in the last decade. At the same time, deep neural networks (NNs) have led to outstanding achievements in many application
Integrated hYperfrequency probes for the assessment of electromagnetic radiations at high sensitivities - Industrial development laboratory. – SYRAH-lab
In the context of 5G deployment, radiofrequency (RF) electric fields are bound to invade our daily lives. This generates an important need in electric field detection at high resolution and sensitivit
Evaluation and development of anaerobic membrane bioreactor (AnMBR) technology to promote unrestricted wastewater reuse and mitigate compromised surface water quality in the Mediterranean region – EADANMBRT
The pursuit of wide-scale unrestricted wastewater effluent reuse still faces significant challenges in its successful implementation at the local level. Energy and resource efficiency of wastewater tr
Camel breeding systems: actors in the sustainable economic development of the northern Sahara territories through innovative strategies for natural resource management and marketing – CAMEL-SHIELD
Marginal in the Maghreb and even more globally, camel breeding systems remain important in desert areas not only from cultural and identity perspectives but also as important economic asset. Moroccan
Bridging Statistical and Computational efficiency in Artificial Intelligence – BISCOTTE
With the enormous amounts of data involved in training a machine learning system, as well as the trend to push artificial intelligence to mobile devices and embedded systems, taking into account compu
Advanced Machine/Deep learning for Heterogeneous Large scale data – AML-HELAS
Professor M. Vazirgiannis is involved in data science research since the 1990’s, worked in different research areas of this domain maintaining significant scientific impact. He established and leads t
HUman-MAchine Affective INteraction & Ethics – HUMAAINE
Abstract: The new uses of affective social robots, conversational agents, and the so-called “intelligent” systems, in fields as diverse as health, education or transport reflect a phase of significant